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Binary Classification

Papers

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Showing 401–425 of 2574 papers

TitleStatusHype
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analysesCode0
Comparison of Neural Models for X-ray Image Classification in COVID-19 Detection—0
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News DetectionCode0
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text—0
Self-Supervised Learning for Detecting AI-Generated Faces as AnomaliesCode0
Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
A New Dataset and Methodology for Malicious URL ClassificationCode0
Leveraging AI for Automatic Classification of PCOS Using Ultrasound ImagingCode0
Depression and Anxiety Prediction Using Deep Language Models and Transfer Learning—0
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems—0
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers—0
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages—0
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus—0
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization—0
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild—0
FROC: Building Fair ROC from a Trained ClassifierCode0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Challenges learning from imbalanced data using tree-based models: Prevalence estimates systematically depend on hyperparameters and can be upwardly biased—0
Finding a Wolf in Sheep's Clothing: Combating Adversarial Text-To-Image Prompts with Text Summarization—0
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models—0
Early Detection of At-Risk Students Using Machine Learning—0
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks—0
Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty—0
Of Dice and Games: A Theory of Generalized Boosting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified